The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-15"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "38917803 (up from 38511143 yesterday: 1.06 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1098254 (up from 1092149 yesterday: 0.56 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 6687876

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.82



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 7979709 63610 0.80 1002051 217692 820 0.38 2.73
India 7370468 63371 0.87 1551898 112161 895 0.80 1.52
Brazil 5169386 28523 0.55 511684 152460 713 0.47 2.95
Russia 1346380 13556 1.02 222404 23350 281 1.22 1.73
Argentina 949063 17096 1.83 270797 25342 421 1.69 2.67
Colombia 936982 6823 0.73 146159 28457 151 0.53 3.04
Spain 921374 13318 1.47 217165 33553 140 0.42 3.64
Peru 859740 5766 0.68 77045 33577 158 0.47 3.91
France 850997 30621 3.73 314708 33146 88 0.27 3.89
Mexico 834910 5514 0.66 119453 85285 387 0.46 10.21
South Africa 698184 1770 0.25 31135 18309 158 0.87 2.62
United Kingdom 676455 18996 2.89 257566 43383 138 0.32 6.41
Iran 517835 4616 0.90 81516 29605 256 0.87 5.72
Chile 486496 1124 0.23 34862 13434 19 0.14 2.76
Iraq 416802 3587 0.87 79696 10086 65 0.65 2.42
Bangladesh 384559 1600 0.42 29175 5608 15 0.27 1.46
Italy 381602 8803 2.36 77279 36372 83 0.23 9.53
Germany 352107 7620 2.21 70761 9739 23 0.24 2.77
Indonesia 349160 4411 1.28 87138 12268 112 0.92 3.51
Philippines 348698 2162 0.62 51943 6497 48 0.74 1.86
Turkey 342143 1693 0.50 32353 9080 66 0.73 2.65
Saudi Arabia 341062 472 0.14 9205 5127 19 0.37 1.50
Pakistan 321877 659 0.21 12862 6621 7 0.11 2.06
Israel 300201 1701 0.57 88086 2127 29 1.38 0.71
Ukraine 289022 5260 1.85 96056 5443 78 1.45 1.88
Netherlands 209799 7857 3.89 101900 6749 29 0.43 3.22
Canada 194362 2298 1.20 43275 9756 37 0.38 5.02
Belgium 191959 10448 5.76 83191 10327 49 0.48 5.38
Romania 168490 4013 2.44 50436 5674 73 1.30 3.37
Morocco 163650 3317 2.07 53551 2772 46 1.69 1.69
Ecuador 150360 1277 0.86 19214 12306 42 0.34 8.18
Poland 149903 8099 5.71 67094 3308 91 2.83 2.21
Czechia 149010 9720 6.98 90636 1230 58 4.95 0.83
Bolivia 139319 178 0.13 6701 8407 30 0.36 6.03
Qatar 128803 200 0.16 4378 222 2 0.91 0.17
Panama 122883 755 0.62 14157 2529 10 0.40 2.06
Nepal 121745 3749 3.18 52444 694 19 2.81 0.57
Dominican Republic 120066 404 0.34 9944 2189 3 0.14 1.82
Kuwait 114015 746 0.66 12164 684 8 1.18 0.60
United Arab Emirates 111437 1398 1.27 22905 452 2 0.44 0.41
Kazakhstan 109202 108 0.10 1612 1768 0 0.00 1.62
Oman 108296 520 0.48 12389 1071 10 0.94 0.99
Egypt 105033 118 0.11 2520 6088 11 0.18 5.80
Sweden 102407 1075 1.06 12118 5910 3 0.05 5.77
Guatemala 99765 671 0.68 11832 3453 23 0.67 3.46
Portugal 93294 2101 2.30 22138 2128 11 0.52 2.28
Costa Rica 93152 1372 1.49 23693 1159 25 2.20 1.24
Japan 91402 708 0.78 10912 1650 4 0.24 1.81
China 90905 36 0.04 481 4739 0 0.00 5.21
Ethiopia 87169 739 0.86 15482 1325 13 0.99 1.52
Honduras 86089 631 0.74 12896 2552 19 0.75 2.96
Belarus 85734 613 0.72 9083 916 5 0.55 1.07
Venezuela 85469 464 0.55 15063 720 6 0.84 0.84
Bahrain 76954 333 0.43 9253 289 2 0.70 0.38
Switzerland 71317 2613 3.80 19825 2115 6 0.28 2.97
Moldova 65076 652 1.01 16123 1530 16 1.06 2.35
Uzbekistan 62278 328 0.53 8444 518 4 0.78 0.83
Nigeria 60982 148 0.24 3133 1116 0 0.00 1.83
Austria 60224 1552 2.65 19408 877 5 0.57 1.46
Armenia 59995 1371 2.34 11744 1046 7 0.67 1.74
Lebanon 58745 1499 2.62 25926 501 2 0.40 0.85
Singapore 57892 3 0.01 238 28 0 0.00 0.05
Algeria 53777 193 0.36 3198 1827 0 0.00 3.40
Paraguay 52596 751 1.45 16192 1150 19 1.68 2.19
Kyrgyzstan 50589 388 0.77 4832 1099 5 0.46 2.17
Ghana 47173 47 0.10 951 310 0 0.00 0.66
Libya 46676 855 1.87 16044 681 12 1.79 1.46
Ireland 46429 1186 2.62 12435 1838 3 0.16 3.96
West Bank and Gaza 46100 442 0.97 8509 401 8 2.04 0.87
Azerbaijan 43280 530 1.24 3594 619 3 0.49 1.43
Kenya 43143 602 1.42 5654 805 8 1.00 1.87
Hungary 41732 950 2.33 20532 1052 29 2.83 2.52
Afghanistan 40026 32 0.08 856 1481 0 0.00 3.70
Serbia 35454 203 0.58 2291 770 2 0.26 2.17
Tunisia 34790 0 0.00 21485 512 0 0.00 1.47
Denmark 34519 432 1.27 9134 677 2 0.30 1.96
Jordan 33009 2459 8.05 26418 282 25 9.73 0.85
Burma 32351 1026 3.28 23836 765 33 4.51 2.36
Bosnia and Herzegovina 32224 569 1.80 5908 972 14 1.46 3.02
El Salvador 31061 295 0.96 2860 908 4 0.44 2.92
Bulgaria 27507 914 3.44 7934 944 15 1.61 3.43
Australia 27371 14 0.05 371 904 0 0.00 3.30
Korea, South 25035 47 0.19 1580 441 2 0.46 1.76
Slovakia 24225 1929 8.65 16596 71 5 7.58 0.29
Greece 23947 452 1.92 7320 482 13 2.77 2.01
Croatia 22534 793 3.65 6962 344 10 2.99 1.53
North Macedonia 22170 534 2.47 4970 815 6 0.74 3.68
Cameroon 21441 0 0.00 729 423 0 0.00 1.97
Cote d’Ivoire 20257 40 0.20 756 120 0 0.00 0.59
Malaysia 18129 589 3.36 7553 170 3 1.80 0.94
Madagascar 16754 0 0.00 563 237 0 0.00 1.41
Kosovo 16502 77 0.47 1169 650 0 0.00 3.94
Albania 16212 257 1.61 3291 439 5 1.15 2.71
Norway 16137 184 1.15 2731 278 1 0.36 1.72
Zambia 15659 43 0.28 1168 346 1 0.29 2.21
Senegal 15348 17 0.11 532 316 0 0.00 2.06
Montenegro 14672 211 1.46 4955 221 4 1.84 1.51
Georgia 14440 919 6.80 10041 113 4 3.67 0.78
Sudan 13691 0 0.00 99 836 0 0.00 6.11
Finland 12944 241 1.90 3565 350 0 0.00 2.70
Namibia 12103 34 0.28 1363 130 0 0.00 1.07
Guinea 11255 67 0.60 821 70 0 0.00 0.62
Maldives 11113 51 0.46 1174 35 0 0.00 0.31
Congo (Kinshasa) 10935 0 0.00 380 281 0 0.00 2.57
Slovenia 10683 745 7.50 5867 176 1 0.57 1.65
Mozambique 10537 145 1.40 3138 73 0 0.00 0.69
Tajikistan 10374 38 0.37 854 80 1 1.27 0.77
Luxembourg 10244 214 2.13 2086 133 0 0.00 1.30
Uganda 10117 48 0.48 3053 96 1 1.05 0.95

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 868148 2944 0.34 68632 16832 103 0.62 1.94 21971.63 425.99 1 in 46
Texas 837566 4830 0.58 90200 17283 95 0.55 2.06 28885.69 596.05 1 in 35
Florida 744988 3356 0.45 51948 15736 141 0.90 2.11 34686.52 732.67 1 in 29
New York 479400 1460 0.31 26553 33337 21 0.06 6.95 24643.30 1713.67 1 in 41
Georgia 336241 1640 0.49 24543 7492 22 0.29 2.23 31668.80 705.63 1 in 32
Illinois 334651 4014 1.21 51092 9373 53 0.57 2.80 26409.07 739.67 1 in 38
North Carolina 238939 2532 1.07 40752 3874 18 0.47 1.62 22781.95 369.37 1 in 44
Arizona 228748 1113 0.49 12896 5789 17 0.29 2.53 30039.56 760.22 1 in 33
Tennessee 222827 2289 1.04 35137 2864 36 1.27 1.29 32609.59 419.13 1 in 31
New Jersey 216994 971 0.45 15778 16197 6 0.04 7.46 24430.24 1823.54 1 in 41
Pennsylvania 182486 1551 0.86 24305 8413 22 0.26 4.61 14254.50 657.16 1 in 70
Ohio 175843 2178 1.25 28099 5038 5 0.10 2.87 15043.33 431.00 1 in 66
Louisiana 173864 743 0.43 10642 5707 12 0.21 3.28 37399.81 1227.63 1 in 27
Alabama 169162 1185 0.71 20956 2756 50 1.85 1.63 34500.43 562.08 1 in 29
Virginia 162538 1302 0.81 19181 3385 7 0.21 2.08 19042.54 396.58 1 in 53
Wisconsin 162325 3747 2.36 54001 1553 17 1.11 0.96 27879.23 266.73 1 in 36
South Carolina 161106 1297 0.81 18399 3607 14 0.39 2.24 31290.53 700.56 1 in 32
Michigan 156913 2458 1.59 24576 7302 34 0.47 4.65 15711.95 731.16 1 in 64
Missouri 152662 1868 1.24 33101 2460 -84 -3.30 1.61 24873.94 400.82 1 in 40
Massachusetts 141579 587 0.42 12586 9672 25 0.26 6.83 20372.54 1391.75 1 in 49
Indiana 141212 1943 1.40 26976 3864 28 0.73 2.74 20975.55 573.96 1 in 48
Maryland 133548 630 0.47 11748 4028 6 0.15 3.02 22089.82 666.26 1 in 45
Minnesota 117106 1163 1.00 24094 2252 19 0.85 1.92 20764.83 399.32 1 in 48
Mississippi 108139 1322 1.24 12829 3152 12 0.38 2.91 36335.21 1059.09 1 in 28
Iowa 104056 1152 1.12 20065 1516 11 0.73 1.46 32980.57 480.50 1 in 30
Oklahoma 103836 1221 1.19 22592 1143 11 0.97 1.10 26241.28 288.86 1 in 38
Arkansas 96524 1278 1.34 17475 1645 11 0.67 1.70 31984.62 545.09 1 in 31
Washington 96185 676 0.71 11947 2232 11 0.50 2.32 12631.17 293.11 1 in 79
Utah 90461 1498 1.68 23342 529 2 0.38 0.58 28216.53 165.01 1 in 35
Nevada 87969 655 0.75 10772 1698 7 0.41 1.93 28559.92 551.27 1 in 35
Kentucky 84195 1182 1.42 20037 1296 20 1.57 1.54 18845.38 290.08 1 in 53
Colorado 81895 1142 1.41 14699 2162 2 0.09 2.64 14221.00 375.43 1 in 70
Kansas 68510 705 1.04 13218 832 15 1.84 1.21 23516.17 285.59 1 in 43
Connecticut 62028 167 0.27 5556 4540 3 0.07 7.32 17397.76 1273.39 1 in 57
Puerto Rico 56085 569 1.02 12243 743 1 0.13 1.32 17561.17 232.65 1 in 57
Nebraska 55428 961 1.76 12697 535 5 0.94 0.97 28653.73 276.57 1 in 35
Idaho 50610 718 1.44 11376 517 1 0.19 1.02 28241.16 288.49 1 in 35
Oregon 38525 365 0.96 6660 611 3 0.49 1.59 9134.05 144.86 1 in 109
New Mexico 34958 668 1.95 6734 922 1 0.11 2.64 16671.84 439.71 1 in 60
South Dakota 31012 797 2.64 10915 304 13 4.47 0.98 35055.32 343.64 1 in 29
North Dakota 29653 706 2.44 10202 370 5 1.37 1.25 38911.53 485.52 1 in 26
Rhode Island 27438 274 1.01 3127 1149 2 0.17 4.19 25900.52 1084.62 1 in 39
Delaware 22560 95 0.42 2613 661 1 0.15 2.93 23167.83 678.81 1 in 43
Montana 20933 723 3.58 9691 230 5 2.22 1.10 19585.92 215.20 1 in 51
West Virginia 19084 261 1.39 4365 395 2 0.51 2.07 10678.47 221.02 1 in 94
District of Columbia 16166 34 0.21 1060 638 0 0.00 3.95 22906.16 904.00 1 in 44
Hawaii 13764 90 0.66 1985 184 1 0.55 1.34 9721.22 129.96 1 in 103
Alaska 10323 153 1.50 3191 65 1 1.56 0.63 14111.23 88.85 1 in 71
New Hampshire 9426 77 0.82 1382 463 5 1.09 4.91 6932.36 340.51 1 in 144
Wyoming 8375 198 2.42 3070 57 0 0.00 0.68 14470.62 98.49 1 in 69
Maine 5834 18 0.31 620 144 1 0.70 2.47 4340.09 107.13 1 in 230
Vermont 1903 14 0.74 179 58 0 0.00 3.05 3049.73 92.95 1 in 328

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 16517812 868148 5.26 2564955 68632 2.68 418043.1
2 Texas 7111890 837566 11.78 1251057 90200 7.21 245272.4
3 Florida 5643521 744988 13.20 464022 51948 11.20 262761.4
4 New York 12475392 479400 3.84 2246747 26553 1.18 641290.9
5 Georgia 3229781 336241 10.41 404965 24543 6.06 304196.3
6 Illinois 6534047 334651 5.12 1238171 51092 4.13 515636.0
7 North Carolina 3500763 238939 6.83 630572 40752 6.46 333784.8
8 Arizona 1601033 228748 14.29 180616 12896 7.14 210250.2
9 Tennessee 3268663 222827 6.82 539275 35137 6.52 478352.1
10 New Jersey 4070357 216994 5.33 618553 15778 2.55 458260.5
11 Pennsylvania 2266717 182486 8.05 309850 24305 7.84 177059.8
12 Ohio 3760979 175843 4.68 805264 28099 3.49 321751.0
13 Louisiana 2546007 173864 6.83 308473 10642 3.45 547670.4
14 Alabama 1234074 169162 13.71 155894 20956 13.44 251688.2
15 Virginia 2326802 162538 6.99 373837 19181 5.13 272602.3
16 Wisconsin 1750966 162325 9.27 265196 54001 20.36 300727.5
17 South Carolina 1546608 161106 10.42 339502 18399 5.42 300387.2
18 Michigan 4171989 156913 3.76 709165 24576 3.47 417748.0
19 Missouri 2222854 152662 6.87 963323 33101 3.44 362180.0
20 Massachusetts 4955322 141579 2.86 1312606 12586 0.96 713047.0
21 Indiana 1521402 141212 9.28 189794 26976 14.21 225988.2
22 Maryland 1770835 133548 7.54 209256 11748 5.61 292909.2
23 Minnesota 2386848 117106 4.91 491546 24094 4.90 423227.6
24 Mississippi 812794 108139 13.30 91035 12829 14.09 273102.6
25 Iowa 835606 104056 12.45 97026 20065 20.68 264845.5
26 Oklahoma 1398768 103836 7.42 271842 22592 8.31 353494.6
27 Arkansas 1186002 96524 8.14 268589 17475 6.51 392998.9
28 Washington 2146509 96185 4.48 403213 11947 2.96 281883.0
29 Utah 948002 90461 9.54 163027 23342 14.32 295700.1
30 Nevada 748073 87969 11.76 72585 10772 14.84 242868.5
31 Kentucky 1633080 84195 5.16 406695 20037 4.93 365532.6
32 Colorado 1602956 81895 5.11 357211 14699 4.11 278352.1
33 Kansas 579827 68510 11.82 87546 13218 15.10 199026.6
34 Connecticut 1934569 62028 3.21 429096 5556 1.29 542612.4
36 Nebraska 523777 55428 10.58 89408 12697 14.20 270768.6
37 Idaho 342870 50610 14.76 48807 11376 23.31 191326.8
38 Oregon 769276 38525 5.01 118778 6660 5.61 182390.7
39 New Mexico 1019029 34958 3.43 140623 6734 4.79 485985.7
40 South Dakota 224239 31012 13.83 42578 10915 25.64 253475.1
41 North Dakota 710266 29653 4.17 128162 10202 7.96 932031.8
42 Rhode Island 927184 27438 2.96 210137 3127 1.49 875229.5
43 Delaware 318633 22560 7.08 40717 2613 6.42 327217.9
44 Montana 419832 20933 4.99 98314 9691 9.86 392815.0
45 West Virginia 656414 19084 2.91 127389 4365 3.43 367297.2
46 District of Columbia 450614 16166 3.59 82747 1060 1.28 638490.4
47 Hawaii 462541 13764 2.98 175756 1985 1.13 326682.8
48 Alaska 519461 10323 1.99 86263 3191 3.70 710087.6
49 New Hampshire 518144 9426 1.82 100455 1382 1.38 381069.2
50 Wyoming 116389 8375 7.20 19749 3070 15.55 201101.0
51 Maine 526067 5834 1.11 126101 620 0.49 391357.2
52 Vermont 175726 1903 1.08 17537 179 1.02 281617.1

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1576062 11447 0.73 1344368 85.30 189715 41502 306 0.74 2.63
Andhra Pradesh 775470 3967 0.51 730109 94.15 38979 6382 25 0.39 0.82
Karnataka 751390 7542 1.01 628588 83.66 112427 10356 73 0.71 1.38
Tamil Nadu 679191 4389 0.65 627703 92.42 40956 10532 60 0.57 1.55
Uttar Pradesh 449935 2552 0.57 408083 90.70 35263 6589 46 0.70 1.46
Kerala 325213 7283 2.29 228998 70.41 95009 1114 24 2.20 0.34
Delhi 324459 3428 1.07 295699 91.14 22814 5946 22 0.37 1.83
West Bengal 313188 3771 1.22 274757 87.73 32500 5931 61 1.04 1.89
Odisha 264149 2138 0.82 241385 91.38 21607 1157 15 1.31 0.44
Telangana 219224 0 0.00 194653 88.79 23315 1256 0 0.00 0.57
Bihar 201887 1062 0.53 190256 94.24 10649 981 9 0.93 0.49
Assam 199749 767 0.39 170263 85.24 28630 853 10 1.19 0.43
Rajasthan 169289 2010 1.20 146185 86.35 21381 1723 15 0.88 1.02
Madhya Pradesh 157936 1352 0.86 141273 89.45 13928 2735 25 0.92 1.73
Gujarat 157474 1191 0.76 139249 88.43 14605 3620 11 0.30 2.30
Chhattisgarh 155987 2472 1.61 126869 81.33 27693 1425 40 2.89 0.91
Haryana 147933 1227 0.84 135858 91.84 10441 1634 11 0.68 1.10
Punjab 126737 507 0.40 116165 91.66 6592 3980 26 0.66 3.14
Jharkhand 95425 473 0.50 88058 92.28 6544 823 4 0.49 0.86
Jammu and Kashmir 86754 697 0.81 76479 88.16 8909 1366 8 0.59 1.57
Uttarakhand 57042 549 0.97 50155 87.93 5692 829 15 1.84 1.45
Goa 40091 321 0.81 35610 88.82 3950 531 6 1.14 1.32
Puducherry 32766 280 0.86 27671 84.45 4524 571 1 0.18 1.74
Tripura 29190 0 0.00 25742 88.19 3105 320 0 0.00 1.10
Himachal Pradesh 18522 219 1.20 15586 84.15 2642 257 2 0.78 1.39
Manipur 14715 337 2.34 11245 76.42 3361 109 5 4.81 0.74
Chandigarh 13532 55 0.41 12352 91.28 974 206 5 2.49 1.52
Arunachal Pradesh 12971 0 0.00 9889 76.24 3052 30 0 0.00 0.23
Meghalaya 8303 139 1.70 5736 69.08 2492 75 2 2.74 0.90
Nagaland 7604 112 1.49 6051 79.58 1466 17 0 0.00 0.22
Ladakh 5441 48 0.89 4461 81.99 915 65 0 0.00 1.19
Andaman and Nicobar Islands 4072 10 0.25 3831 94.08 185 56 1 1.82 1.38
Sikkim 3531 31 0.89 3096 87.68 295 59 0 0.00 1.67
Dadra and Nagar Haveli and Daman and Diu 3174 3 0.09 3084 97.16 63 2 0 0.00 0.06
Mizoram 2229 0 0.00 2127 95.42 102 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2411663 118711 2067 1.77 4.92 726 72 17050 17037 14.35
Piemonte 828712 41074 1033 2.58 4.96 595 40 7308 4190 10.20
Emilia-Romagna 1339233 39148 453 1.17 2.92 392 49 7521 4503 11.50
Veneto 2114126 33573 600 1.82 1.59 279 40 7608 2237 6.66
Lazio 1076138 22001 594 2.77 2.04 969 90 11605 1001 4.55
Campania 723005 21772 1127 5.46 3.01 762 66 13244 496 2.28
Toscana 878817 20262 581 2.95 2.31 276 46 7906 1185 5.85
Liguria 362962 16696 432 2.66 4.60 316 26 3113 1626 9.74
Sicilia 575631 10691 399 3.88 1.86 468 52 5487 350 3.27
Puglia 473161 10421 257 2.53 2.20 319 26 4409 625 6.00
Marche 276513 9018 140 1.58 3.26 61 9 1664 992 11.00
P.A. Trento 255435 6604 62 0.95 2.59 20 0 668 415 6.28
Friuli Venezia Giulia 465140 5928 136 2.35 1.27 32 11 1647 358 6.04
Abruzzo 234275 5648 203 3.73 2.41 159 10 1993 491 8.69
Sardegna 221349 5603 186 3.43 2.53 180 28 3024 169 3.02
P.A. Bolzano 197890 4365 98 2.30 2.21 60 3 1193 293 6.71
Umbria 243404 4012 263 7.02 1.65 74 12 1817 91 2.27
Calabria 230635 2487 39 1.59 1.08 51 3 859 104 4.18
Valle d’Aosta 32441 1633 67 4.28 5.03 14 3 360 146 8.94
Basilicata 85435 1112 37 3.44 1.30 36 0 539 37 3.33
Molise 51862 843 30 3.69 1.63 7 0 251 26 3.08

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 89963 969 1.09 6005 28 0.47 6.67 10537.18 703.35 1 in 95
Ontario 64826 734 1.15 3078 7 0.23 4.75 4406.39 209.22 1 in 227
Alberta 21443 244 1.15 288 1 0.35 1.34 4858.89 65.26 1 in 206
British Columbia 11034 142 1.30 250 0 0.00 2.27 2158.91 48.91 1 in 463
Manitoba 3098 173 5.91 38 1 2.70 1.23 2248.97 27.59 1 in 445
Saskatchewan 2232 33 1.50 25 0 0.00 1.12 1888.86 21.16 1 in 529
Nova Scotia 1092 0 0.00 65 0 0.00 5.95 1117.18 66.50 1 in 895
New Brunswick 292 0 0.00 2 0 0.00 0.68 374.36 2.56 1 in 2671
Newfoundland and Labrador 284 1 0.35 4 0 0.00 1.41 544.72 7.67 1 in 1836
Prince Edward Island 65 2 3.17 0 0 NaN 0.00 410.98 0.00 1 in 2433
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5213 105 2.01
Guangdong 1875 8 0.43
Zhejiang 1283 1 0.08
Henan 1281 22 1.72
Shanghai 1075 7 0.65
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 937 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 845 7 0.83
Sichuan 723 3 0.41
Jiangsu 669 0 0.00
Chongqing 586 6 1.02
Shaanxi 433 3 0.69
Fujian 417 1 0.24
Hebei 368 6 1.63
Liaoning 280 2 0.71
Inner Mongolia 275 1 0.36
Guangxi 260 2 0.77
Tianjin 247 3 1.21
Yunnan 211 2 0.95
Shanxi 208 0 0.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 24387.86 665.32 1 in 41
India 5504.46 83.76 1 in 182
Brazil 24698.45 728.43 1 in 40
Russia 9317.51 161.59 1 in 107
Argentina 21438.06 572.44 1 in 47
Colombia 19094.80 579.93 1 in 52
Spain 19746.55 719.10 1 in 51
Peru 26724.90 1043.74 1 in 37
France 12703.34 494.79 1 in 79
Mexico 6462.15 660.10 1 in 155
South Africa 12309.31 322.80 1 in 81
United Kingdom 10181.44 652.97 1 in 98
Iran 6380.42 364.77 1 in 157
Chile 26952.69 744.27 1 in 37
Iraq 10891.09 263.55 1 in 92
Bangladesh NA NA 1 in NA
Italy 6309.56 601.39 1 in 158
Germany 4253.01 117.63 1 in 235
Indonesia 1322.58 46.47 1 in 756
Philippines 3324.10 61.94 1 in 301

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 286183 6834 2.39
Miami-Dade Florida 176809 3501 1.98
Cook Illinois 159035 5332 3.35
Harris Texas 152977 2708 1.77
Maricopa Arizona 148152 3489 2.36
Dallas Texas 88372 1184 1.34
Broward Florida 80112 1492 1.86
Queens New York 74632 7282 9.76
Clark Nevada 73154 1461 2.00
Kings New York 72369 7361 10.17
Riverside California 63125 1269 2.01
Bexar Texas 60258 1370 2.27
San Bernardino California 59169 988 1.67
Tarrant Texas 57438 772 1.34
Orange California 56436 1391 2.46
Bronx New York 54077 4973 9.20
San Diego California 51470 847 1.65
Palm Beach Florida 48496 1472 3.04
Nassau New York 48272 2204 4.57
Suffolk New York 47711 2016 4.23
Hillsborough Florida 44811 734 1.64
Orange Florida 42778 528 1.23
Philadelphia Pennsylvania 39870 1838 4.61
Westchester New York 39200 1460 3.72
Salt Lake Utah 38949 284 0.73
Wayne Michigan 37702 3017 8.00
New York New York 34637 3189 9.21
Hidalgo Texas 34034 1892 5.56
Milwaukee Wisconsin 34017 554 1.63
Shelby Tennessee 33443 547 1.64
Kern California 33145 406 1.22
Duval Florida 32489 500 1.54
Hennepin Minnesota 31161 962 3.09
Prince George’s Maryland 31102 841 2.70
Mecklenburg North Carolina 31074 373 1.20
Travis Texas 30688 442 1.44
Franklin Ohio 29901 635 2.12
El Paso Texas 29887 564 1.89
Fresno California 29650 424 1.43
Middlesex Massachusetts 29587 2205 7.45
Fulton Georgia 29429 599 2.04
Gwinnett Georgia 29295 428 1.46
Davidson Tennessee 28895 324 1.12
St. Louis Missouri 27050 854 3.16
Pima Arizona 26727 633 2.37
Suffolk Massachusetts 26012 1153 4.43
King Washington 24610 791 3.21
Utah Utah 24279 67 0.28
Sacramento California 24060 462 1.92
Montgomery Maryland 24015 860 3.58
Marion Indiana 23852 776 3.25
Pinellas Florida 23623 792 3.35
Cameron Texas 23612 1058 4.48
Bergen New Jersey 23495 2050 8.73
Santa Clara California 22859 367 1.61
Oakland Michigan 22571 1224 5.42
Alameda California 22370 442 1.98
Fairfax Virginia 22340 600 2.69
Essex New Jersey 22129 2134 9.64
Jefferson Alabama 21897 364 1.66
Essex Massachusetts 21619 1318 6.10
Lee Florida 21613 489 2.26
Polk Florida 21456 569 2.65
Hudson New Jersey 21425 1520 7.09
Oklahoma Oklahoma 21260 212 1.00
Fairfield Connecticut 21183 1427 6.74
San Joaquin California 21100 483 2.29
Cobb Georgia 20924 444 2.12
Nueces Texas 20887 432 2.07
Middlesex New Jersey 20646 1436 6.96
Providence Rhode Island 20439 909 4.45
DeKalb Georgia 19969 384 1.92
DuPage Illinois 19967 592 2.96
Tulsa Oklahoma 19888 182 0.92
Passaic New Jersey 19812 1258 6.35
Wake North Carolina 19454 261 1.34
Baltimore Maryland 19275 649 3.37
Douglas Nebraska 19190 211 1.10
Lake Illinois 18859 499 2.65
Cuyahoga Ohio 18834 671 3.56
Jefferson Kentucky 18604 326 1.75
Union New Jersey 18440 1362 7.39
Jefferson Louisiana 18182 578 3.18
Contra Costa California 17866 233 1.30
Polk Iowa 17573 281 1.60
Stanislaus California 17160 389 2.27
Fort Bend Texas 17038 303 1.78
Tulare California 17015 273 1.60
Rockland New York 16972 680 4.01
Baltimore City Maryland 16647 494 2.97
Collin Texas 16588 168 1.01
Richmond New York 16559 1089 6.58
Macomb Michigan 16548 1055 6.38
Charleston South Carolina 16448 269 1.64
Richland South Carolina 16366 258 1.58
District of Columbia District of Columbia 16166 638 3.95
Will Illinois 16074 412 2.56
Hartford Connecticut 16058 1445 9.00
Greenville South Carolina 15994 330 2.06
Ocean New Jersey 15684 1054 6.72

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc